Population Interactions in Communities
Data Analysis and Mathematical Models
The structure of a community is described in terms of
species composition and diversity
Communities are comprised of different populations
of organisms that interact with each other in negative
or positive ways
The physical structure of a community is affected by
abiotic factors and also the spatial distribution of
organisms
The mix of species in terms of both the number of
individuals and the diversity of the species defines the
structure of the community
Predator/prey
relationships: Snowshoe
Hare and Lynx
Changes in hare pop. is
followed by similar changes
in lynx pop. – predation
limits hare pop. and food
supply limits lynx pop.
Fluctuation cycles are
commonly observed
between predator and prey
Symbiotic Relationships
Mutualism (+,+)
Acacia trees provide food
& housing for ants; in
exchange, resident ants
kill any insects or fungi
found on the tree and crop
veg to increase sun
exposure for tree
Lichen – algae provide
sugar from
photosynthesis; fungi
provide minerals, water,
attachment and protection
Commensalism (+,0)
Birds build nests in tree
(benefit from protection)
the tree gets no benefit
or harm
Egrets gather around
cattle; birds get to eat
insects that swarm
around cattle; cattle are
neither helped or
harmed
Parasitism (+,-)
Tapeworm live in the
digestive tract of
animals, stealing
nutrients from the host
http://youtu.be/rLtUk-
W5Gpk
Introduction of Species
Competitive Exclusion
occurs when two species
compete for exactly the
same resources (they
occupy the same niche),
one is likely to be more
successful. One species
outcompetes the other and
eventually the second
species is eliminated from
the area
http://youtu.be/rZ_up40F
ZVw
Resource Partitioning
occurs when species
coexist in spite of
apparent competition for
the same resources
Species do this by
occupying slightly
different niches
Which species of
paramecia outcompetes
the other?
Paramecium aurelia
Size is usually designated
as N (total number of
individuals)
Density – total number
of individuals per area or
volume
Dispersion – how
individuals in a
population are
distributed
Age structure – is a description of the abundance of
individuals of each age
Rapid growth – many young, few elderly; developing
countries
Slow growth – larger at the bottom that slowly narrow; the
US
Zero growth – tiers of equal width; Italy
About 1,000 years ago
the human population
began population
growth thanks to
increasing the carrying
capacity of our
environment
Increase in food
supply
Reduction in disease
Reduction in human
waste
Expansion of habitat
Survivorship Curves
describe how mortality
of individuals in a
species varies during
their lifetimes
3 types of curves
Type 1
Type 2
Type 3
Type 1 Survivorship
describe species in which
most individuals live to
middle age; after that
mortality is high
Examples: Humans,
Elephants
Type 2 Survivorship
describes organisms in
which the length of
survivorship is random,
that is, the likelihood of
death is the same at any
age – constant death rate
Examples: Rodents and
invertebrates
Type 3 Survivorship
describe species in which
most individuals die
young, with only a
relative few surviving to
reproductive age and
beyond
Examples: oysters,
plants, free-swimming
larvae, frogs
Biotic Potential is the
maximum growth rate of a
population under ideal
conditions
Take into consideration the
following:
Age at reproductive
maturity
Clutch size
Frequency of reproduction
Reproductive lifetime
Survivorship of offspring
to reproductive maturity
Limits to Growth
Density-Dependent
factors are those factors
whose limiting effect
becomes more intense
as the population
density increases
Examples – parasite &
disease transmission;
competition for
resources; predation
Limiting Growth Factors
Density-Independent
factors occur
independently of the
density of the
population
Examples – natural
disasters such as fires,
earthquakes, volcanic
eruptions; extreme
climates such as storms
and frosts
Exponential Growth in a
population occurs
whenever the reproductive
rate is greater than zero.
Producing a J shaped curve
G=rN
G stands for growth, r
stands for the per capita
rate of increase, and N
stands for the population
size
Logistic Growth occurs when limiting factors restrict the size
of the population to the carrying capacity of the habitat
Producing a S shaped curve
G=rN*(K-N)/K
K stands for the carrying capacity; as N approaches K the
growth rate is slowed, eventually reaching zero growth
Exponential and logistic growth patterns are
associated with two kinds of life-history strategies:
R-selected species
K-selected species
R-selected species –
Rapid growth (J shaped
curve)
Opportunistic species –
grasses and insects
Quickly invade a habitat
and reproduce
immediately (after
reproducing they die)
Produce many offspring
that are small, mature
quickly and require little if
any parental care
K selected species
Population size remains
relatively constant at
carrying capacity, K – s
shaped curve
Produce few offspring
that are larger in size
and require extensive
parental care
Reproduction occurs
repeatedly during their
lifetime
Communities are made up of populations of organisms that interact in various ways, shaping the structure of the community. Population interactions include predator-prey relationships, symbiotic interactions like mutualism and commensalism, parasitism, and competitive exclusion. These interactions influence species composition, diversity, and overall community dynamics.
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Presentation Transcript
EK 4.A.5 Communities are composed of populations of organisms that interact in complex ways Data Analysis and Mathematical Models
Communities The structure of a community is described in terms of species composition and diversity Communities are comprised of different populations of organisms that interact with each other in negative or positive ways The physical structure of a community is affected by abiotic factors and also the spatial distribution of organisms The mix of species in terms of both the number of individuals and the diversity of the species defines the structure of the community
Population Interactions Predator/prey relationships: Snowshoe Hare and Lynx Changes in hare pop. is followed by similar changes in lynx pop. predation limits hare pop. and food supply limits lynx pop. Fluctuation cycles are commonly observed between predator and prey
Population Interactions Symbiotic Relationships Mutualism (+,+) Acacia trees provide food & housing for ants; in exchange, resident ants kill any insects or fungi found on the tree and crop veg to increase sun exposure for tree Lichen algae provide sugar from photosynthesis; fungi provide minerals, water, attachment and protection
Population Interactions Commensalism (+,0) Birds build nests in tree (benefit from protection) the tree gets no benefit or harm Egrets gather around cattle; birds get to eat insects that swarm around cattle; cattle are neither helped or harmed
Population Interactions Parasitism (+,-) Tapeworm live in the digestive tract of animals, stealing nutrients from the host http://youtu.be/rLtUk- W5Gpk
Population Interactions Introduction of Species Competitive Exclusion occurs when two species compete for exactly the same resources (they occupy the same niche), one is likely to be more successful. One species outcompetes the other and eventually the second species is eliminated from the area http://youtu.be/rZ_up40F ZVw
Population Interactions Resource Partitioning occurs when species coexist in spite of apparent competition for the same resources Species do this by occupying slightly different niches
Population Interactions Which species of paramecia outcompetes the other? Paramecium aurelia
Populations Size is usually designated as N (total number of individuals) Density total number of individuals per area or volume Dispersion how individuals in a population are distributed
Growth Patterns & Interactions Age structure is a description of the abundance of individuals of each age Rapid growth many young, few elderly; developing countries Slow growth larger at the bottom that slowly narrow; the US Zero growth tiers of equal width; Italy
Growth Patterns & Interactions About 1,000 years ago the human population began population growth thanks to increasing the carrying capacity of our environment Increase in food supply Reduction in disease Reduction in human waste Expansion of habitat
Growth Patterns and Interactions Survivorship Curves describe how mortality of individuals in a species varies during their lifetimes 3 types of curves Type 1 Type 2 Type 3
Growth Patterns & Interactions Type 1 Survivorship describe species in which most individuals live to middle age; after that mortality is high Examples: Humans, Elephants
Growth Patterns & Interactions Type 2 Survivorship describes organisms in which the length of survivorship is random, that is, the likelihood of death is the same at any age constant death rate Examples: Rodents and invertebrates
Growth Patterns & Interactions Type 3 Survivorship describe species in which most individuals die young, with only a relative few surviving to reproductive age and beyond Examples: oysters, plants, free-swimming larvae, frogs
Growth Patterns & Interactions Biotic Potential is the maximum growth rate of a population under ideal conditions Take into consideration the following: Age at reproductive maturity Clutch size Frequency of reproduction Reproductive lifetime Survivorship of offspring to reproductive maturity
Growth Patterns & Interactions Limits to Growth Density-Dependent factors are those factors whose limiting effect becomes more intense as the population density increases Examples parasite & disease transmission; competition for resources; predation
Growth Patterns & Interactions Limiting Growth Factors Density-Independent factors occur independently of the density of the population Examples natural disasters such as fires, earthquakes, volcanic eruptions; extreme climates such as storms and frosts
Growth Patterns & Interactions Exponential Growth in a population occurs whenever the reproductive rate is greater than zero. Producing a J shaped curve G=rN G stands for growth, r stands for the per capita rate of increase, and N stands for the population size
Growth Patterns & Interactions Logistic Growth occurs when limiting factors restrict the size of the population to the carrying capacity of the habitat Producing a S shaped curve G=rN*(K-N)/K K stands for the carrying capacity; as N approaches K the growth rate is slowed, eventually reaching zero growth
Growth Patterns & Interactions Exponential and logistic growth patterns are associated with two kinds of life-history strategies: R-selected species K-selected species
Growth Patterns & Interactions R-selected species Rapid growth (J shaped curve) Opportunistic species grasses and insects Quickly invade a habitat and reproduce immediately (after reproducing they die) Produce many offspring that are small, mature quickly and require little if any parental care
Growth Patterns & Interactions K selected species Population size remains relatively constant at carrying capacity, K s shaped curve Produce few offspring that are larger in size and require extensive parental care Reproduction occurs repeatedly during their lifetime
